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Engineered and established an AI-powered smart parking system combining a cross-platform

mobile app with a Python backend

Created mobile application for iOS and Android using Flutter, delivering 6+ unique screens for user

authentication, location management, and real-time updates

Developed backend RESTful API using Python (Flask) to handle mobile requests and image

processing with cloud deployment

Trained real-time vehicle detection model using OpenCV with computer vision algorithms achieving

96% accuracy

Integrated 4 core external services (Firebase Authentication, Firestore, Storage, Google Maps API)

Collaborated effectively in Agile environment with focus on delivering scalable solutions

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